/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements.  See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License.  You may obtain a copy of the License at
*
*    http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package ai.h2o.sparkling.benchmarks

import org.apache.spark.sql.DataFrame

/**
  *  The purpose of this benchmark is to measure how much time is spent on deserialization from data frame cache.
  */
class DummyDataFrameBenchmark(context: BenchmarkContext) extends BenchmarkBase[DataFrame](context) {

  override protected def initialize(): DataFrame = loadDataToDataFrame()

  override protected def body(dataFrame: DataFrame): Unit = dataFrame.count()

  override protected def cleanUp(dataFrame: DataFrame): Unit = removeFromCache(dataFrame)
}
